Towards the harmony of theoretical physics and AI
报告人： 朱华星（北京大学）
时间：2026-11-16 15:00-16:00
地点：智华楼四元厅-225
Abstract:
Artificial Intelligence, particularly the recent development of Large Language Models (LLMs), has become a revolutionary tool for science. Parts of the theoretical physics community have been attempting to harvest its fruits for several years. The recent claimed proof of half of the Yang-Mills mass gap problem has brought it to the masses. I will discuss the journey that my collaborators and I have recently undertaken in applying AI to some theoretical problems, and how we respond to the exciting future of theoretical physics + AI. Along the way, we are naturally led to examine the inner workings of LLM more closely from physicists’ viewpoint, the so-called PHYSICS of LLMs. I will present some observations and theory that have emerged from this endeavor.
About the Speaker:
朱华星现任北京大学博雅特聘教授。他于2007年和2012年分别获得北京大学本科和博士学位，2012年至2017年分别在斯坦福直线加速器中心和麻省理工学院从事博士后研究，2017年至2023年任浙江大学百人计划研究员，2023年起在北京大学先后任长聘副教授、教授。他的主要研究方向是粒子物理和量子场论，近年来也开展人工智能的物理学研究。他近年来提出并发展了对撞机物理的能量关联研究纲领，为大型强子对撞机实验首次观测到从夸克到强子的禁闭转变过程提供了关键理论支持。他迄今共发表论文90余篇，包括22篇Physical Review Letters和1篇PRX-Intelligence。朱华星长期从事数学物理方法和量子场论的教学工作，目前担任Research Future和Journal of High Energy Physics的编委，曾获2020年求是青年学者奖，2023年亚洲青年科学家基金，2024年国家青年科学基金A类资助。
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